基于RSSI-距离区间映射的加权质心定位算法

考虑到室内传播中RSSI的不稳定因素使得基于RSSI与位置(距离)一一对应关系的定位算法误差较大,在对RSSI统计分析后,提出了在离线采样阶段先建立符合实际环境的基于RSSI-距离区间映射的数据库,再在在线测量阶段根据待定位点RSSI在粗略位置区域中采用加权质心算法确定具体位置.从性能测试结果看出各测试点位置估计偏差略有不同,但平均偏差不高,表明在一定程度上改善了信号因多径效应、非视距传播等波动引起的定位偏差较大问题,验证了该方法的可行性和有效性.

Weighted centroid localization algorithm based on RSSI-distance interval mapping

Considering that the instability of RSSI in indoor propagation makes the localization algorithm based on one to one mapping between RSSI and location (distance) larger error, by the statistical analysis for RSSI, this paper proposes to build the interval mapping database between RSSI and distance in offline sampling stage, and then to determine the specific location of the anchor point by the weighted Centroid localization algorithm in rough location area divided by anchor point RSSI in online measuring stage. The performance test results show that the position estimation error of each test point is slightly different and the average deviation is not high. It indicates that to some extent this method improves the position deviation problem due to the signal fluctuations such as multipath effects, NLOS propagation. Also, it proves the feasibility and effectiveness of this method.